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In the United States, the Army is managing approximately 25 million acres of land. These lands are used for various military training programs. These training activities inevitably degrade land condition and the degraded land condition in turn limits military land carrying capacity. To sustain both military land carrying capacity and environment, the land managers need to monitor and predict changes of land condition under various military training schemes. The objective of this study is to develop prediction models of land condition based on military training intensity and independent variables that play a significant role in driving changes of land condition for Fort Riley. It is assumed that land condition can be quantified using soil erosion relevant ground and vegetation cover factor that ranges from 0 to 1. The larger the factor, the poorer the land condition. In this study, the used independent variables included distance of a location to road, slope, ground cover, landscape fragmentation, military training intensity, and Landsat Thematic Mapper images. The comparisons of modeling and prediction were made between linear and nonlinear models, with and without TM images, with and without stepwise, and with and without historical land condition variables.